AI Readiness Assessment
Most AI projects do not fail because of the model. They fail because the data is messy, the process is unclear, or the systems do not connect.
Why It Matters
A lot of AI budget is lost on projects that were never going to succeed, because the groundwork was not there. The assessment tells you what is ready now, what needs work first, and what to leave for later.
If sales sits in Excel, stock updates are delayed, and finance data is separate, an AI tool cannot give reliable answers. We check whether your data is clean, connected and trustworthy enough to build on.
We look at where your data lives, how clean and complete it is, and how well your systems connect. This is the part most AI projects skip, and the part that decides whether they work.
We map your core processes and look for the repetitive, high-volume work where AI pays back. Then we rank each opportunity by value and effort, so you start where the return is clearest.
We score your readiness across data, process, systems, team, use cases and governance, then deliver a report with a prioritized roadmap and an estimate of effort and return for each step.
How clean, complete, connected and trustworthy your business data is, and where it lives today.
How clearly your core processes are defined, and whether they are consistent enough to automate.
Which systems you run, how well they connect, and where data is re-keyed by hand between them.
Whether your team has the skills, ownership and appetite to adopt and run AI in daily work.
The specific opportunities in your business, ranked by value and effort, so you start where it pays back.
How you handle data access, approvals, compliance and control, so AI stays safe and accountable.
We meet your team and understand your goals, pain points and priorities.
We review your data, the systems you run, and how well they connect.
We map the core processes and find where AI could remove real friction.
We score the six dimensions and rank the use cases by value and effort.
We hand over a readiness report and a prioritized plan you can act on.
View of where you stand
Use cases to start with
Money lost on the wrong project
Path to a working AI use case
Data access and governance
Decisions backed by evidence
We build ERP and software, so we assess your real data and stack, not a checklist.
We start with your operation and where it leaks time, then look at AI, not the other way around.
If you are not ready for something, we say so, and tell you what to fix first.
We focus on the boring, high-value automations that pay back, not hype.
The plan is yours to run with any partner or your own team.
It is a structured review that checks whether your business is ready to use AI. It scores your data, processes, systems, team and use cases, then gives you a readiness score and a roadmap of where to start.
AI works only on clean, connected data and clear processes. An assessment finds the gaps first, so you spend on the use cases that will actually work instead of a project that fails.
A focused assessment usually takes about two weeks, depending on the size of the business and the number of systems and departments involved.
A readiness score across the key dimensions, a shortlist of high-value AI use cases, a prioritized roadmap, and an estimate of the effort and return for each opportunity.
No. The assessment stands on its own. You get a clear plan you can act on with any partner or your own team.
No. It suits any growing business that is considering AI and wants to avoid spending on the wrong project. The scope is adjusted to the size of the company.
Related
The other services in this section, and related pages from TCB Infotech.
No commitment. A practical first look at your AI readiness.
